Technical Field
[0001] The present disclosure generally relates to telecommunications systems and more particularly
(though not necessarily exclusively) to detecting traffic loads using narrowband signal
monitoring.
Background
[0002] A distributed antenna system ("DAS") can provide a signal transport network for communicating
signals between a base transceiver station and mobile communication devices. The DAS
can include one or more master units and remote units. The master unit can be coupled
to a base transceiver station using radio frequency cables. The base transceiver station
can send downlink signals for receipt by the mobile communication devices. The master
unit can receive downlink signals from the base transceiver station and distribute
the downlink signals to one or more remote units. The remote units can transmit downlink
signals to mobile communication devices within the coverage area that each remote
unit services. The mobile communication devices can send uplink signals to the base
transceiver station. The remote units can receive uplink signals from the mobile communication
devices within respective coverage areas. The remote units can combine the uplink
signals and transmit the combined uplink signals to the master unit. The master unit
can transmit the uplink signals to the base transceiver station.
[0003] A base transceiver station can allocate time and frequency channel resources in a
given cell in a coverage area, but no information may be available to the base transceiver
station about the utilization of channel resources at the individual remote unit level.
[0004] WO 2014/022211 A2 (Dali Systems Co Ltd) published 6 February 2014 discloses a system for dynamically routing signals in a distributed antenna. The
system includes a plurality of digital access units (DAUs). The DAUs are coupled and
operable to route signals between the plurality of DAUs. The system also includes
a plurality of digital remote units (DRUs) coupled to the plurality of DAUs and operable
to transport signals between the DRUs, the DAUs, and a plurality of base transceiver
stations (BTSs). The system further includes a plurality of traffic monitoring modules
and a network optimization goal an optimization algorithm.
[0005] Seyed Amin Hejazi et al: "Traffic Monitoring in a LTE distributed antenna system",
published 1 May 2013, discloses an Intelligent Distributed Antenna System (IDAS) fed by a multiple Base
Transceiver Station (BTS) which has the ability to distribute the radio resources
over a given geographic area. To enable an efficient distribution of radio resources
amongst the antenna modules, a server is utilized to dynamically allocate the remote
antenna modules to the BTSs using a Self-Optimized Network (SON) algorithm. Monitoring
the traffic on the DAS network is required in order to plan, configure and optimize
the SON. A method is disclosed to monitor the required SON information in order to
properly configure the remote antenna allocation. An LTE SON system is described using
a particular method for traffic monitoring.
Summary
[0006] In accordance with a first aspect of the invention there is provided a method, as
defined in the appended claims.
[0007] In accordance with a second aspect of the invention there is provided a system comprising
one or more remote units and a monitoring unit, as defined in the appended claims.
Brief Description of the Drawings
[0008]
FIG. 1 is a block diagram depicting a telecommunications system according to one example
of the present disclosure.
FIG. 2 is a flow chart depicting a process for detecting traffic load for a telecommunications
system using narrowband signal monitoring according to one example of the present
disclosure.
FIG. 3 is a functional block diagram depicting a distributed antenna system for detecting
traffic load using narrowband signal monitoring according to one example of the present
disclosure.
FIG. 4 is a functional block diagram depicting a resource utilization monitor according
to one example of the present disclosure.
Detailed Description
[0009] Certain aspects and features relate to detecting a traffic load by monitoring one
or more narrowband signals. In some aspects, a wideband uplink signal can be decomposed
into one or more narrowband signals. A resource utilization profile comprising time
and frequency resource utilization information of the used uplink radio channel can
be estimated at each remote unit based on information extracted from and associated
with the narrowband signals generated from a wideband uplink signal. Based on the
resource utilization profile, a traffic load can be determined at each remote unit.
[0010] In digital communications systems, a repeater can include a device that receives
a digital signal on an electromagnetic or optical transmission medium and regenerates
the signal along a next segment of the medium. A distributed antenna system (DAS)
can include a type of digital repeater that can use mediums such as fiber optic or
copper cables. For purposes of illustration, a DAS will be used throughout as an example
of a digital repeater suitable for detecting traffic load by monitoring one or more
narrowband signals, but other types of telecommunication systems can be used.
[0011] A remote unit can include circuitry that can be coupled to an antenna element. Alternatively,
the remote unit can include an antenna element. The remote units can transmit uplink
signals to the master unit. The master unit can combine uplink signals received from
remote units for transmission to the base transceiver station. A base transceiver
station can be configured to reallocate resources optimally based on the spatial distribution
of the traffic load for each remote unit in the DAS. For example, the organization
of remote units and cells can be adjusted based on the detected traffic load for each
remote unit. The simulcast factor can be reduced for high-load cells and the simulcast
factor can be increased for low-load cells. In another example, additional cells associated
with different radio frequency ("RF") carriers can be designated to be associated
with high-load remote units. Optimizing the traffic load based on measured power spectral
density profiles of narrowband signals can reduce or improve the efficiency of radio
link budgets. Because remote units with a low load can use less frequency resources,
the available composite transmit power can be used on a narrower bandwidth and the
transmitted power spectral density can be increased.
[0012] These illustrative examples are given to introduce the reader to the general subject
matter discussed here and are not intended to limit the scope of the disclosed concepts.
The following sections describe various additional features and examples with reference
to the drawings, but, like the illustrative examples, should not be used to limit
the present disclosure.
[0013] FIG. 1 illustrates a telecommunications system suitable for implementing an aspect
of the present disclosure. The system can include a DAS 100 coupled to a base transceiver
station 102. The DAS 100 can include a master unit 104 and remote units 106, 108.
Each remote unit 106, 108 can transmit information to and receive information from
mobile communication devices 110, 112 within the respective coverage area 114, 116
of each remote unit 106, 108. Although two remote units are shown, any number of remote
units, including one, can be used. Similarly, although one master unit is shown, any
number of master units can be used. The DAS 100 can be communicatively coupled to
the base transceiver station 102 using, for example, radio frequency cables between
the base transceiver station 102 and master unit 104 in the DAS 100. In other examples,
the DAS 100 is communicatively coupled to the base transceiver station 102 by a wireless
link.
[0014] In the downlink path, the channel resource utilization profile can be the same for
each remote unit in the DAS due to a downlink single simulcast. For example, the DAS
master unit 104 can split the RF signals for each RF carrier associated with a given
cell supported by the base transceiver station. The same RF signal of a given cell
can be split into multiple signal copies that can be distributed to multiple remote
units. In one aspect, the signal copies can be distributed according to a simulcast
factor. The simulcast factor can be defined, for example, by the number of remote
units radiating the same cell signals. The base transceiver station can allocate time
and frequency channel resources in a given cell.
[0015] In the uplink path, the channel resource utilization profile can vary substantially
across different remote units. For example, channel resource utilization can vary
as a function of the distribution of active mobile communication devices transmitting
uplink signals throughout the coverage areas served by the remote units. The DAS can
monitor the resource utilization profile for each remote unit to determine the traffic
load of a given cell in the coverage area served by the respective remote units. The
resource utilization profile can be monitored anywhere in the DAS (e.g., at the remote
unit level, at the master unit level, at the base station, etc.).
[0016] FIG. 2 is a flow chart showing examples of a process for detecting traffic load for
a telecommunications system using narrowband signal monitoring. At block 200, a wideband
uplink signal can be decomposed into one or more complex narrowband signals (e.g.,
I/Q samples, where "I" and "Q" can correspond to the real and imaginary parts of the
signal, respectively). The sample rate of each complex narrowband signals is decimated
to the minimum acceptable value. In some aspects, the multiple narrowband signals
are generated using filter banks. For example, each carrier can be processed by a
filter bank having a specific narrowband filters grid. The frequency resolution of
the filter bank can be dimensioned according to the carrier format of the specific
uplink signal (e.g., LTE, GSM, etc.). In other aspects, where filter banks may not
be used for decomposing the uplink signal, narrowband signals can be generated, for
example, by sampling signal information from the uplink signal and performing off-channel-path
processing.
[0017] Information regarding the number of carrier frequencies, channel bandwidth and format
served by each remote unit in the DAS can be available during the system configuration
phase. For example, with respect to LTE SC-FDMA uplink signals, the per-user frequency
resource allocation can be 180 kHz, which can correspond to a single physical resource
block (PRB). The individual bandwidth of each narrowband signal can be in the same
order to reduce the effects of energy spillover from user devices operating adjacent
in frequency. With respect to GSM uplink signals, TDMA can scheme over a single 200
kHz carrier and FDMA can scheme over different carriers using frequency hopping. Each
GSM carrier of 200 kHz bandwidth can be accommodated with a filter bank having this
frequency resolution. With respect to UMTS uplink signals, the nominal channel bandwidth
can be 5MHz (e.g., 3.84MHz + roll-off). When a CDMA scheme for user-resource allocation
is used over the entire channel bandwidth, a higher frequency resolution can be used
to estimate resources assigned to each user.
[0018] At block 202, a power profile is determined for the narrowband signals. In some aspects,
the power profile for each carrier can include determining the square of the momentary
power of each narrowband signal (e.g., adding the square of the I and Q samples of
the complex narrowband signals).
[0019] At block 204, a resource utilization profile is estimated. The estimation can be
based on a resource allocation map over time and frequency. Time and frequency resource
utilization information includes information extracted from the narrowband signals
and information defined by a signal format associated with the narrowband signals.
For example, the power profile for samples of the narrowband profiles can be stored
in a database. The power profile of the samples versus the frequency of the carrier
and the sample time can yield a resource allocation map of the remote units over time
and frequency.
[0020] For each sample time, the square of the I and Q samples of the complex narrowband
signals can be added together. The result can be the square of the power of the signal
over a particular time and frequency bin. The collections of square power values can
represent the resource utilization profile over the time and the frequency with a
time resolution equal to the sample time and a frequency resolution equal to the narrowband
filters grid. The calculated square power values can be averaged over the time and
frequency domain according to the signal format known by the system.
[0021] At block 206, a traffic load is determined based on the estimated resource utilization
profile. Active resources, whether in the frequency domain, time domain, or both,
can indicate whether a user signal is being transported by a remote unit in the DAS.
All of the narrowband signals having an estimated resource utilization profile at
or above a predetermined threshold are assumed to carry traffic load and are marked
as active. All of the narrowband signals having an estimated resource utilization
profile lower than a predetermined threshold are assumed to carry only noise, so are
marked as inactive.
[0022] In some aspects, the predetermined threshold for determining whether narrowband signals
are active or inactive is based on the power profile of the noise floor measured at
non-loaded traffic conditions when no traffic is being transmitted through the DAS
(e.g., at the commissioning of the system). Alternatively, a RUM can measure narrowband
signals which are not transporting traffic load at a given point in time. The noise
floor calibration can be applied to the signal formats processed by the RUM of each
remote unit. The noise floor is a reference for discriminating between "active" and
"inactive" resources during a given time period. The start of the time period can
be triggered when the first narrow band signal is detected as "active." The traffic
activity can be measured as a percentage of resource usage versus the total available
resources. In LTE and GSM, the frequency resources that are in use per remote unit
can be determined over time and frequency. Using the specific frequency resources
that are in use per remote unit over time and frequency can provide more precise measurement
results than using a long-term power measurement because imperfections in power control
for the user device may not affect the power measurement. Long-term power measurements
can be available, for example, in UMTS embodiments.
[0023] In UMTS, the composite power profile generated by active user devices in the cell
can be estimated. The admission/congestion control procedure of the base transceiver
station can be configured to ensure that a maximum received total wideband power ("RTWP")
is not exceeded. For example, configuring the base transceiver station to ensure that
a maximum RTWP is not exceeded can include limiting the maximum number of user devices
attached to the cell. After determining values for the maximum RTWP level (e.g., defined
by the base transceiver station at full load), the measured noise floor calibration
level, and the measured power density (e.g., as rise over thermal noise power), the
percentage of resource usage versus full load condition can be estimated.
[0024] For LTE, the number of active user devices per time slot can be estimated by measuring
the number of active physical resource blocks over the total number of physical resource
blocks determined to be "active". Assuming a non-adjacent frequency allocation for
the users, different groups of active physical resource blocks allocated to a specific
user can be identified. The number of user devices per time slot can be computed by
dividing the total number of "active" physical resource blocks by the number of identified
physical resource block groups. A physical resource block can be a minimum resource
assigned to a user.
[0025] Once the traffic load on the remote units is detected, traffic load optimization
policies can be applied by the base transceiver station. For example, the simulcast
factor of the cells distributed through the DAS can be modified and more carrier frequencies
can be allocated to remote units reporting high traffic load. By allocating more carrier
frequencies to high-load remote units, the traffic load per carrier for a given remote
unit can be reduced. A base transceiver station can allocate all resources to a user
device if that user device is the only one communicating in the DAS. Rather than measuring
the number of user devices directly, the system can measure the load and optimize
accordingly.
[0026] FIG. 3 is a diagram illustrating a DAS suitable for detecting traffic load by monitoring
narrowband signals. One or more DAS remote units 300, labeled RU #0 through RU #N,
can communicate multi-carrier RF uplink signals. The uplink signals are decomposed
into multiple narrowband complex signals (I/Q samples) using filter banks 302. Separate
filter banks can be configured to decompose uplink signals having like signal formats.
For example, LTE SC-FDMA uplink signals received by the remote unit can be decomposed
by a multi-carrier LTE filter bank (e.g., LTE Filter Bank #0 for RU #0, LTE Filter
Bank #N for DAS RU #N). UMTS uplink signals received by the remote unit can be decomposed
by a multi-carrier UMTS filter bank (e.g., UMTS Filter Bank #0 for RU #0, UMTS Filter
Bank #N for remote unit RU #N). GSM uplink signals received by the remote unit can
be decomposed by a multi-carrier GSM filter bank (e.g., GSM Filter Bank #0 for RU
#0, GSM Filter Bank #N for RU #N).
[0027] The process of decomposing multicarrier RF uplink signals into multiple narrowband
complex signals can be applied to any uplink carrier format and frequency. In some
aspects, each carrier signal can, alternatively, be processed by a filter bank having
a narrowband filter grid designed for a specified carrier. In some aspects, the narrowband
signals that are outputted by the filter bank(s) may not need to be grouped by format.
For example, the narrowband signals used to determine a power profile can be ungrouped
(e.g., one signal per power profile) or can be grouped based on other characteristics
(e.g., grouped by carrier).
[0028] The collection of I/Q samples generated by the filter banks 302 can be sent to one
or more master units 304. In some aspects, each master unit, MU #0 through MU #N,
can include a resource utilization monitor ("RUM"), RUM #0 through RUM #N, that is
configured to receive, monitor (or process), and transmit the narrowband complex signals
generated from the uplink signals. Specifically, a RUM is configured to receive the
narrowband complex signals and determine a power profile for each of the narrowband
complex signals. In some configurations, narrowband signals of the same carrier or
carrier signal format can, alternatively, be processed together to determine the respective
power profile for each carrier or format. The RUM is further configured to estimate
time and frequency channel resource utilization information of the radio channel at
the remote units. A resource utilization profile of the radio channel is determined
based on the measured power profiles associated with the narrowband signals and the
time and frequency for each carrier. The RUM determines a traffic load based on the
resource utilization profile. This information can be fed into a multistage, aggregation,
transport and distribution block 306. At the output of the multistage, aggregation,
transport and distribution block 306, the signal carrying the information can be routed
to the antenna ports 308 servicing the base transceiver stations BTS #0 through BTS
#N.
[0029] A RUM can be located anywhere in the DAS. For example, the functionality of the RUM
can be integrated into a remote unit, a master unit, or an expansion unit. For example,
as illustrated above, the RUM integrated into a master unit. The receiver and transmitter
functions can, in some aspects, utilize the receiving and transmitting means of the
unit into which it is integrated. In some aspects, the functionality of the RUM can
be distributed throughout the DAS without departing from the scope of the subject
matter described herein.
[0030] FIG. 4 is a functional block diagram of a RUM according to one example. The RUM 400
can include a receiver 402 and a processor 404 to receive and process, respectively,
narrowband signals (e.g., I/Q samples) generated from uplink signals. In some aspects,
the processor 404 can process common signal formats (e.g., LTE, UMTS, GSM) together.
A power profile 406 can be determined for each grouping of I/Q samples. For example,
the processor 404 can determine an LTE Power Profile 406a for the LTE narrowband signals
received, a UMTS Power Profile 406b for the UMTS narrowband signals received, and
a GSM Power Profile 406c for the GSM narrowband signals received. In some aspects,
each power profile 406 can be stored in a database 408 in the RUM. A resource utilization
profile 410 is estimated for each remote unit based on the power profiles 406. A traffic
load is determined from the resource utilization profile 410. The traffic load information
is transmitted by a transmitter 414 to the base transceiver station of the DAS through
the transport network as a part of control messaging.
[0031] Returning to FIG. 3 to illustrate how a RUM 400 may operate within the DAS, resources
utilization monitor RUM #0 can process the narrowband I/Q samples generated from the
uplink signals received from remote unit RU #0. RUM #0 can estimate the resource utilization
profile for RU #0 based on a power profile of the narrowband I/Q samples from remote
unit RU #0. RUM #0 can determine a traffic load based on the estimated resource utilization
profile and transmit the traffic load information to one or more of the BTS antenna
ports 308. The traffic load information is transmitted to an antenna port 308 of a
base transceiver station that can optimize the traffic load by reallocating resources
within the DAS.
[0032] Resources for a given carrier can be assigned in the frequency and time domains.
A RUM 400 can determine a power profile 406 per sample time and in the time domain.
The RUM 400 can apply a different monitoring function to power profiles 406 related
to different signal formats, depending on the time domain characteristics of the received
signal frame. Power profiles 406 calculated at each sample time can be averaged over
a time window that is equal to the time resolution in order to correspond to changes
in the resource allocation applied to each specific carrier format. In some aspects,
the frequency resolution of the power profile 406 can be defined by the filter bank
resolution. By calculating power profiles 406 at each sample time and averaging over
a time window, the power profile 406 of each carrier can be estimated in the either
or both of the frequency and time domains.
[0033] For example, in GSM, a burst period can be defined to be 0.577 msec. A time division
multiple access ("TDMA") frame includes eight burst periods. The GSM frequency-hopping
rate corresponds to the TDMA framing. One TDMA frame can be 4.615 msec. The time resolution
of the power profile can be at least equal to the GSM burst. For UMTS, the frame duration
is 10 msec, but the shortest time transmit interval (TTI) for resource scheduling
can be 2 msec. Time slot resolution of the power profile can be at least equal to
the TTI duration for each UMTS carrier. For LTE, the physical resource block duration
can be equal to a time slot of 0.5 msec. Time slot resolution of the power profile
can be at least equal to the physical resource block duration for each LTE carrier.
[0034] The foregoing description of the examples, including illustrated examples, of the
invention has been presented only for the purpose of illustration and description
and is not intended to be exhaustive or to limit the invention to the precise forms
disclosed. The illustrative examples described above are given to introduce the reader
to the general subject matter discussed here and are not intended to limit the scope
of the disclosed concepts.
1. A method, comprising:
decomposing, with one or more filter banks (302), a wideband uplink signal, received
by one or more remote units (106, 108) of a distributed antenna system, into one or
more narrowband signals (200), wherein each of the one or more filter banks (302)
is uniquely coupled to a remote unit;
determining a power profile for each of the one or more narrowband signals (202);
estimating a resource utilization profile for each of the one or more narrowband signals
for each of the one or more remote units based, at least in part, on the power profile
for each of the one or more narrowband signals (204); and
determining a traffic load at each of the one or more remote units based on the resource
utilization profile (206), by:
comparing the resource utilization profile for each of the one or more narrowband
signals of a remote unit to a predetermined threshold that is based on a power profile
of a noise floor for the remote unit measured when no traffic is transmitted;
designating as active narrowband signals of the remote unit having the estimated resource
utilization profile at or above the predetermined threshold; and
designating as inactive narrowband signals of the remote unit having the estimated
resource utilization profile below the predetermined threshold.
2. The method of claim 1, further comprising:
generating digital samples of the one or more narrowband signals; and
filtering the digital samples based on a signal format associated with the one or
more narrowband signals.
3. The method of claim 1, wherein determining the power profile for each of the one or
more narrowband signals includes:
sampling the one or more narrowband signals; and
determining a square of a momentary power for the one or more narrowband signals at
each sample time.
4. The method of claim 1, wherein estimating the resource utilization profile for each
of the one or more remote units (106, 108) comprises:
storing the power profile for samples of each of the one or more narrowband signals
in a database; and
deriving a resource allocation map from the power profile for the samples for each
of the one or more narrowband signals, frequency characteristics of the samples for
each of the one or more narrowband signals, and a sample time of the samples for each
of the one or more narrowband signals.
5. The method of claim 1, further comprising optimizing the traffic load by:
allocating greater frequency or time resources to each of the one or more remote units
(106, 108) having the resource utilization profile at or above the predetermined threshold;
and
allocating fewer frequency or time resources to each of the one or more remote units
having the resource utilization profile below the predetermined threshold.
6. A distributed antenna system comprising:
one or more remote units (106, 108, 300);
one or more filter banks (302) configured for decomposing a widebank uplink signal
into one or more narrowband signals, wherein each filter bank is uniquely communicatively
coupled to a remote unit (106, 108) and further configured to communicatively couple
the one or more narrowband signals to at least one base transceiver station; and
a monitoring unit (400) comprising:
a receiver (402) configured for receiving one or more narrowband signals generated
from a wideband uplink signal received by at least one of the one or more remote units;
and
a processor (404), coupled to the receiver, configured for determining a power profile
for each of the one or more narrowband signals (202),
wherein the processor (404) is further configured for estimating a resource utilization
profile for each of the one or more narrowband signals for each of the one or more
remote units (204) based, at least in part, on the power profile for each of the one
or more narrowband signals, and
wherein the processor (404) is further configured for determining a traffic load at
each of the one or more remote units based on the resource utilization profile (206)
by:
comparing the resource utilization profile for each of the one or more narrowband
signals of a remote unit to a predetermined threshold that is based on a power profile
of a noise floor for the remote unit measured when no traffic is transmitted;
designating as active narrowband signals of the remote unit having the estimated resource
utilization profile at or above the predetermined threshold; and
designating as inactive narrowband signals of the remote unit having the estimated
resource utilization profile below the predetermined threshold.
7. The distributed antenna system of claim 6, wherein the monitoring unit further comprises
a transmitter configured for transmitting information based on the traffic load at
each of the one or more remote units (106, 108, 300) to a base transceiver station.
8. The distributed antenna system of claim 6, further comprising a database (408) configured
for storing the power profile for samples of each of the one or more narrowband signals,
and
wherein the processor (404) is further configured to derive a resource allocation
map, at least in part, from information stored in the database.
9. The distributed antenna system of claim 6, wherein the processor (404) is further
configured to determine the power profile for each of the one or more narrowband signals
by sampling the one or more narrowband signals and determining a square of a momentary
power for the one or more narrowband signals at each sample time.
10. The distributed antenna system of claim 6, wherein the monitoring unit (400) further
comprises a transmitter (414) configured to transmit traffic load information to a
base transceiver station configured to optimize the traffic load based, at least in
part, on the traffic load information, the traffic load information being measured
as a percentage of resource usage to at least one of the one or more remote units
(106, 108, 300) versus a total of available resources to the at least one of the one
or more remote units.
1. Verfahren, das Folgendes aufweist:
Zerlegen eines breitbandigen Uplink-Signals, das von einer oder mehreren entfernten
Einheiten (106, 108) eines verteilten Antennensystems empfangen wird, mittels einer
oder mehrerer Filterbanken (302), in ein oder mehrere Schmalbandsignale (200), wobei
jede von der einen oder den mehreren Filterbanken (302) eindeutig mit einer entfernten
Einheit verbunden ist;
Bestimmen eines Leistungsprofils für jedes von dem einen oder den mehreren Schmalbandsignalen
(202);
Schätzen eines Ressourcennutzungsprofils für jedes von dem einen oder den mehreren
Schmalbandsignalen für jede von der einen oder den mehreren entfernten Einheiten zumindest
teilweise basierend auf dem Leistungsprofil für jedes von dem einen oder den mehreren
Schmalbandsignalen (204); und
Bestimmen einer Verkehrslast an jeder von der einen oder den mehreren entfernten Einheiten
basierend auf dem Ressourcennutzungsprofil (206) durch:
Vergleichen des Ressourcennutzungsprofils für jedes von dem einen oder den mehreren
Schmalbandsignalen einer entfernten Einheit mit einem vorbestimmten Schwellenwert,
der auf einem Leistungsprofil von einem Grundrauschen für die entfernte Einheit basiert,
das gemessen wird, wenn kein Verkehr übertragen wird;
Bestimmen als aktive Schmalbandsignale der entfernten Einheit, die das geschätzte
Ressourcennutzungsprofil bei oder oberhalb von dem vorbestimmten Schwellenwert aufweist;
und
Bestimmen als inaktive Schmalbandsignale der entfernten Einheit, die das geschätzte
Ressourcennutzungsprofil unterhalb des vorbestimmten Schwellenwerts aufweist.
2. Verfahren nach Anspruch 1, das ferner Folgendes aufweist:
Erzeugen von digitalen Mustern von dem einen oder den mehreren Schmalbandsignalen;
und
Filtern der digitalen Muster basierend auf einem Signalformat, das mit dem einen oder
den mehreren Schmalbandsignalen zugehörig ist.
3. Verfahren nach Anspruch 1, wobei das Bestimmen des Leistungsprofils für jedes von
dem einen oder den mehreren Schmalbandsignalen Folgendes einschließt:
Abtasten des einen oder der mehreren Schmalbandsignale; und
Bestimmen eines Quadrats einer momentanen Leistung für das eine oder die mehreren
Schmalbandsignale zu jeder Samplezeit.
4. Verfahren nach Anspruch 1, wobei das Schätzen des Ressourcennutzungsprofils für jede
von der einen oder den mehreren entfernten Einheiten (106, 108) Folgendes aufweist:
Speichern des Leistungsprofils für Muster von jedem von dem einen oder den mehreren
Schmalbandsignalen in einer Datenbank; und
Ableiten einer Ressourcenverteilungskarte von dem Leistungsprofil für die Muster für
jedes von dem einen oder den mehreren Schmalbandsignalen, von Frequenzcharakteristika
von den Mustern für jedes von dem einen oder den mehreren Schmalbandsignalen und einer
Samplezeit von den Mustern für jedes von dem einen oder den mehreren Schmalbandsignalen.
5. Verfahren nach Anspruch 1, ferner aufweisend ein Optimieren der Verkehrslast durch:
Zuweisen größerer Frequenz- oder Zeitressourcen zu jeder von der einen oder den mehreren
entfernten Einheiten (106, 108), die das Ressourcennutzungsprofil bei oder oberhalb
von dem vorbestimmten Schwellenwert aufweist; und
Zuweisen geringerer Frequenz- oder Zeitressourcen zu jeder von der einen oder den
mehreren entfernten Einheiten, die das Ressourcennutzungsprofil unterhalb des vorbestimmten
Schwellenwerts aufweist.
6. Verteiltes Antennensystem, das Folgendes aufweist:
eine oder mehrere entfernte Einheiten (106, 108, 300);
eine oder mehrere Filterbanken (302), die dazu ausgebildet sind, ein breitbandiges
Uplink-Signal in ein oder mehrere Schmalbandsignale zu zerlegen, wobei jede Filterbank
eindeutig kommunikativ mit einer entfernten Einheit (106, 108) verbunden ist und ferner
dazu ausgebildet ist, das eine oder die mehreren Schmalbandsignale mit zumindest einer
Sende-/Empfangs-Basisstation kommunikativ zu verbinden; und
eine Überwachungseinheit (400), die Folgendes aufweist:
einen Empfänger (402), der dazu ausgebildet ist, ein oder mehrere Schmalbandsignale
zu empfangen, die von einem breitbandigen Uplink-Signal erzeugt werden, das zumindest
von einer von der einen oder den mehreren entfernten Einheiten empfangen wird; und
einen Prozessor (404), der mit dem Empfänger verbunden ist, und dazu ausgebildet ist,
ein Leistungsprofil für jedes von dem einen oder den mehreren Schmalbandsignalen (202)
zu bestimmen,
wobei der Prozessor (404) ferner dazu ausgebildet ist, ein Ressourcennutzungsprofil
für jedes von dem einen oder den mehreren Schmalbandsignalen für jede von der einen
oder den mehreren entfernten Einheiten (204) zu schätzen, zumindest teilweise basierend
auf dem Leistungsprofil für jedes von dem einen oder den mehreren Schmalbandsignalen,
und
wobei der Prozessor (404) ferner dazu ausgebildet ist, eine Verkehrslast an jeder
von der einen oder den mehreren entfernten Einheiten basierend auf dem Ressourcennutzungsprofil
(206) zu bestimmen durch:
Vergleichen des Ressourcennutzungsprofils für jedes von dem einen oder den mehreren
Schmalbandsignalen einer entfernten Einheit mit einem vorbestimmten Schwellenwert,
der auf einem Leistungsprofil von einem Grundrauschen für die entfernte Einheit basiert,
das gemessen wird, wenn kein Verkehr übertragen wird;
Bestimmen als aktive Schmalbandsignale der entfernten Einheit, die das geschätzte
Ressourcennutzungsprofil bei oder oberhalb von dem vorbestimmten Schwellenwert aufweist;
und
Bestimmen als inaktive Schmalbandsignale der entfernten Einheit, die das geschätzte
Ressourcennutzungsprofil unterhalb von dem vorbestimmten Schwellenwert aufweist.
7. Verteiltes Antennensystem nach Anspruch 6, wobei die Überwachungseinheit ferner einen
Transmitter aufweist, der dazu ausgebildet ist, Informationen basierend auf der Verkehrslast
an jeder von der einen oder den mehreren entfernten Einheiten (106, 108, 300) an eine
Sende-/Empfangs-Basisstation zu übertragen.
8. Verteiltes Antennensystem nach Anspruch 6, ferner aufweisend eine Datenbank (408),
die dazu ausgebildet ist, das Leistungsprofil für Muster von jedem von dem einen oder
den mehreren Schmalbandsignalen zu speichern, und
wobei der Prozessor (404) ferner dazu ausgebildet ist, eine Ressourcenverteilungskarte
zumindest teilweise von in der Datenbank gespeicherten Informationen abzuleiten.
9. Verteiltes Antennensystem nach Anspruch 6, wobei der Prozessor (404) ferner dazu ausgebildet
ist, das Leistungsprofil für jedes von dem einen oder den mehreren Schmalbandsignalen
durch Abtasten des einen oder der mehreren Schmalbandsignale und Bestimmen eines Quadrats
einer momentanen Leistung für das eine oder die mehreren Schmalbandsignale zu jeder
Samplezeit zu bestimmen.
10. Verteiltes Antennensystem nach Anspruch 6, wobei die Überwachungseinheit (400) ferner
einen Transmitter (414) aufweist, der dazu ausgebildet ist, Verkehrslastinformationen
an eine Sende-/Empfangs-Basisstation zu übertragen, um die Verkehrslast zumindest
teilweise basierend auf den Verkehrslastinformationen zu optimieren, wobei die Verkehrslastinformationen
als ein Prozentsatz einer Ressourcennutzung für zumindest eine von der einen oder
den mehreren entfernten Einheiten (106, 108, 300) im Verhältnis zu einer Gesamtzahl
an verfügbaren Ressourcen für zumindest eine von der einen oder den mehreren entfernten
Einheiten gemessen wird.
1. Procédé, comprenant :
la décomposition, avec un ou plusieurs bancs de filtres (302), d'un signal de liaison
montante à large bande, reçu par une ou plusieurs unités distantes (106, 108) d'un
système d'antennes distribuées, en un ou plusieurs signaux à bande étroite (200),
dans lequel chacun des un ou plusieurs bancs de filtres (302) est couplé de manière
unique à une unité distante ;
la détermination d'un profil de puissance pour chacun des un ou plusieurs signaux
à bande étroite (202) ;
l'estimation d'un profil d'utilisation de ressources pour chacun des un ou plusieurs
signaux à bande étroite pour chacune des une ou plusieurs unités distantes sur la
base, au moins en partie, du profil de puissance pour chacun des un ou plusieurs signaux
à bande étroite (204) ; et
la détermination d'une charge de trafic au niveau de chacune des une ou plusieurs
unités distantes sur la base du profil d'utilisation de ressources (206), par :
la comparaison du profil d'utilisation de ressources pour chacun des un ou plusieurs
signaux à bande étroite d'une unité distante à un seuil prédéterminé qui est fondé
sur un profil de puissance d'un bruit de fond pour l'unité distante mesuré lorsqu'aucun
trafic n'est transmis ;
la désignation comme actifs de signaux à bande étroite de l'unité distante présentant
le profil d'utilisation de ressources estimé est égal ou supérieur au seuil prédéterminé
; et
la désignation comme inactifs de signaux à bande étroite de l'unité distante présentant
le profil d'utilisation de ressources estimé en dessous du seuil prédéterminé.
2. Procédé selon la revendication 1, comprenant en outre :
la génération d'échantillons numériques du un ou plusieurs signaux à bande étroite
; et
le filtrage des échantillons numériques sur la base d'un format de signal associé
aux un ou plusieurs signaux à bande étroite.
3. Procédé de la revendication 1, dans lequel la détermination du profil de puissance
pour chacun des un ou plusieurs signaux à bande étroite comprend :
L'échantillonnage des un ou plusieurs signaux à bande étroite ; et
la détermination d'un carré d'une puissance momentanée pour les un ou plusieurs signaux
à bande étroite à chaque temps d'échantillonnage.
4. Procédé selon la revendication 1, dans lequel l'estimation du profil d'utilisation
de ressources pour chacune des une ou plusieurs unités distantes (106, 108) comprend
:
le stockage du profil de puissance pour les échantillons de chacun des un ou plusieurs
signaux à bande étroite dans une base de données ; et
le calcul d'une carte d'allocation de ressources à partir du profil de puissance des
échantillons pour chacun des un ou plusieurs signaux à bande étroite, de caractéristiques
de fréquence des échantillons pour chacun des un ou plusieurs signaux à bande étroite,
et d'un temps d'échantillonnage des échantillons pour chacun des un ou plusieurs signaux
à bande étroite.
5. Procédé selon la revendication 1, comprenant en outre l'optimisation de la charge
de trafic par :
L'attribution de ressources de fréquence ou de temps plus importantes à chacune des
une ou plusieurs unités distantes (106, 108) dont le profil d'utilisation des ressources
est égal ou supérieur au seuil prédéterminé ; et
L'attribution de moins de ressources de fréquence ou de temps à chacune des une ou
plusieurs unités distantes ayant le profil d'utilisation de ressources en dessous
du seuil prédéterminé.
6. Système d'antennes distribuées, comprenant :
une ou plusieurs unités distantes (106, 108, 300) ;
un ou plusieurs bancs de filtres (302) configurés pour décomposer un signal de liaison
montante à large bande en un ou plusieurs signaux à bande étroite, dans lequel chaque
banc de filtres est couplé de manière unique à une unité distante (106, 108) et configuré
en outre pour coupler de manière communicative les un ou plusieurs signaux à bande
étroite à au moins une station émettrice-réceptrice de base ; et
une unité de surveillance (400) comprenant :
un récepteur (402) configuré pour recevoir un ou plusieurs signaux à bande étroite
générés à partir d'un signal de liaison montante à large bande reçu par au moins une
des une ou plusieurs unités distantes ; et
un processeur (404), couplé au récepteur, configuré pour déterminer un profil de puissance
pour chacun des un ou plusieurs signaux à bande étroite (202),
dans lequel le processeur (404) est en outre configuré pour estimer un profil d'utilisation
de ressources pour chacun des un ou plusieurs signaux à bande étroite pour chacune
des une ou plusieurs unités distantes (204) sur la base, au moins en partie, du profil
de puissance pour chacun des un ou plusieurs signaux à bande étroite, et
dans lequel le processeur (404) est en outre configuré pour déterminer une charge
de trafic au niveau de chacune des une ou plusieurs unités distantes sur la base du
profil d'utilisation des ressources (206) par :
la comparaison du profil d'utilisation de ressources pour chacun des un ou plusieurs
signaux à bande étroite d'une unité distante à un seuil prédéterminé qui est fondé
sur un profil de puissance d'un bruit de fond pour l'unité distante mesuré lorsqu'aucun
trafic n'est transmis ;
la désignation comme actifs de signaux à bande étroite de l'unité distante présentant
le profil d'utilisation de ressources estimé est égal ou supérieur au seuil prédéterminé
; et
la désignation comme inactifs de signaux à bande étroite de l'unité distante présentant
le profil d'utilisation de ressources estimé en dessous du seuil prédéterminé.
7. Système d'antennes distribuées selon la revendication 6, dans lequel l'unité de surveillance
comprend en outre un émetteur configuré pour transmettre des informations fondées
sur la charge de trafic au niveau de chacune des une ou plusieurs unités distantes
(106, 108, 300) à une station émettrice-réceptrice de base.
8. Système d'antennes distribuées selon la revendication 6, comprenant en outre une base
de données (408) configurée pour stocker le profil de puissance pour des échantillons
de chacun des un ou plusieurs signaux à bande étroite, et
dans lequel le processeur (404) est en outre configuré pour calculer une carte d'allocation
de ressources, au moins en partie, à partir d'informations stockées dans la base de
données.
9. Système d'antennes distribuées selon la revendication 6, dans lequel le processeur
(404) est en outre configuré pour déterminer le profil de puissance pour chacun des
un ou plusieurs signaux à bande étroite en échantillonnant les un ou plusieurs signaux
à bande étroite et en déterminant un carré d'une puissance momentanée pour les un
ou plusieurs signaux à bande étroite à chaque temps d'échantillonnage.
10. Système d'antennes distribuées selon la revendication 6, dans lequel l'unité de surveillance
(400) comprend en outre un émetteur (414) configuré pour transmettre des informations
de charge de trafic à une station émettrice-réceptrice de base configurée pour optimiser
la charge de trafic sur la base, au moins en partie, des informations de charge de
trafic, les informations de charge de trafic étant mesurées en tant que pourcentage
d'utilisation de ressources pour au moins une des une ou plusieurs unités distantes
(106, 108, 300) par rapport à un total de ressources disponibles pour au moins une
des une ou plusieurs unités distantes.